This course focuses on advanced graph mining algorithms for understanding graphs and extracting patterns and relationships from them. The course covers the following topics: Graph data structures and graph databases, paths flows and fundamental graph algorithms, mining subgraph patterns, subgraph pattern matching, nearest-neighbors search, graph centrality, spectral graph theory, graph similarity & graph kernels, modularity & influence maximization, graph embeddings & graph classification, linear-algebra-based graph algorithms